SHARPE, INC.
PENSACOLA, FLORIDA

Effectively processing the ever increasing volumes of data in more sophisticated ways requires not just one technique but rather a combination of technologies and approaches. Examples include fusion (bottom up analysis), resource management (top town analysis), and data mining (human driven or using machine learning), along with elements visualization for human interaction. For some application spaces simple business logic is sufficient and is well supported in the major business rules engines complex event processing platforms. However, for many other important problems, the ability to handle a wide variety of multi-structured data or perform complex mathematical operations is required. Although the fields of natural language processing, machine learning, and artificial in have been around for decades, recent developments by IBM and others have combined them to produce systems that are will take software engineering into a new generation. Rather than programming them, solution developers interact with the system in other ways to “teach” the desired behavior. Solutions created using this relatively new paradigm will be easier to use, interacting with users on our terms using natural conversational language while being more dynamic and flexible that traditionally programmed systems. The various products in IBM’s portfolio of Watson branded products are an exciting step toward the future of computing. Effectively processing the ever increasing volumes of data in more sophisticated ways requires not just one technique but rather a combination of technologies and approaches. Examples include fusion (bottom up analysis), resource management (top town analysis), and data mining (human driven or using machine learning), along with elements visualization for human interaction. For some application spaces simple business logic is sufficient and is well supported in the major business rules engines complex event processing platforms. However, for many other important problems, the ability to handle a wide variety of multi-structured data or perform complex mathematical operations is required. Although the fields of natural language processing, machine learning, and artificial in have been around for decades, recent developments by IBM and others have combined them to produce systems that are will take software engineering into a new generation. Rather than programming them, solution developers interact with the system in other ways to “teach” the desired behavior. Solutions created using this relatively new paradigm will be easier to use, interacting with users on our terms using natural conversational language while being more dynamic and flexible that traditionally programmed systems. The various products in IBM’s portfolio of Watson branded products are an exciting step toward the future of computing. 3 Copper Lane Mt. Crested Butte, CO 81225-5310 +1 (0) 970.209.3810 [email protected]